A Bayesian Optimization Approach for Multi-Function Estimation for Environmental Monitoring Using an Autonomous Surface Vehicle: Ypacarai Lake Case Study

A Bayesian Optimization Approach for Multi-Function Estimation for Environmental Monitoring Using an Autonomous Surface Vehicle: Ypacarai Lake Case Study

Bayesian optimization is a sequential method that can optimize a single and costly objective function based on a surrogate model. In this work, we propose a Bayesian optimization system dedicated to monitoring and estimating multiple water quality parameters simultaneously using a single autonomous...

Full description

Bibliographic Details
Main Authors: Federico Peralta, Daniel Gutierrez Reina, Sergio Toral, Mario Arzamendia, Derlis Gregor
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Electronics
Subjects:
multi-function estimation
Bayesian optimization
data acquisition
environmental monitoring
autonomous vehicles
multiple-objective Bayesian optimization
Online Access:https://www.mdpi.com/2079-9292/10/8/963

Similar Items

Similar Items